Automatic Segmentation of the Self-organizing Map to Support Territorial Zoning
Pedro V. de A. Barreto,
Marcos A. S. da Silva,
Leonardo N. Matos
et al.
Abstract:This paper proposes an algorithm for analyzing clusters of thematic maps with ordinal categorical classes to support territorial zoning. The proposed method combines the Self-Organizing Map with graph segmentation techniques for data clustering. The approach was evaluated with synthetic data and applied to the environmental zoning of the Alto Taquari basin, MS/MT. The results showed the ability of the algorithm to separate the data into unimodal differentiable groups.
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